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<article id="content">
<header>
<h1 class="title">Module <code>ascend.post_process.image</code></h1>
</header>
<section id="section-intro">
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L0-L292" class="git-link">Browse git</a>
</summary>
<pre><code class="python"># Copyright (c) Open-MMLab. All rights reserved.
import cv2
import numpy as np

from ..common.const import *
from .color import color_val, COLORS_81

def trans_numpy(img):
    &#34;&#34;&#34;Trans AscendArray img to np.ndrray with rgb/bgr format.

    Args:
        img (AscendArray): The image to be transimited

    Returns:
        ndarray: The image with rgb/bgr format.
    &#34;&#34;&#34;
    if isinstance(img, np.ndarray):
        return img

    # AscendArray image
    if img.format in yuv420:
        convert = cv2.COLOR_YUV2RGB_NV21 if img.format == PIXEL_FORMAT_YUV_SEMIPLANAR_420 else cv2.COLOR_YUV2RGB_NV12
        img = cv2.cvtColor(img.to_np, convert)
    else:
        img = img.to_np
    return img

def imshow(img, win_name=&#39;&#39;, wait_time=0):
    &#34;&#34;&#34;Show an image.

    Args:
        img (AscendArray or ndarray): The image to be displayed.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
    &#34;&#34;&#34;
    img = trans_numpy(img)
    cv2.imshow(win_name, img)

    if wait_time == 0:  # prevent from hangning if windows was closed
        while True:
            ret = cv2.waitKey(1)

            closed = cv2.getWindowProperty(win_name, cv2.WND_PROP_VISIBLE) &lt; 1
            # if user closed window or if some key pressed
            if closed or ret != -1:
                break
    else:
        ret = cv2.waitKey(wait_time)


def imshow_bboxes(img,
                  bboxes,
                  colors=&#39;green&#39;,
                  top_k=-1,
                  thickness=1,
                  show=True,
                  win_name=&#39;&#39;,
                  wait_time=0,
                  out_file=None):
    &#34;&#34;&#34;Draw bboxes on an image.

    Args:
        img (AscendArray or ndarray): The image to be displayed.
        bboxes (list or ndarray): A list of ndarray of shape (k, 4).
        colors (list[str or tuple or Color]): A list of colors.
        top_k (int): Plot the first k bboxes only if set positive.
        thickness (int): Thickness of lines.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str, optional): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    img = trans_numpy(img)

    if isinstance(bboxes, np.ndarray):
        bboxes = [bboxes]
    if not isinstance(colors, list):
        colors = [colors for _ in range(len(bboxes))]
    colors = [color_val(c) for c in colors]
    assert len(bboxes) == len(colors)

    for i, _bboxes in enumerate(bboxes):
        _bboxes = _bboxes.astype(np.int32)
        if top_k &lt;= 0:
            _top_k = _bboxes.shape[0]
        else:
            _top_k = min(top_k, _bboxes.shape[0])
        for j in range(_top_k):
            left_top = (_bboxes[j, 0], _bboxes[j, 1])
            right_bottom = (_bboxes[j, 2], _bboxes[j, 3])
            cv2.rectangle(
                img, left_top, right_bottom, colors[i], thickness=thickness)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img


def imshow_det_bboxes(img,
                      bboxes,
                      labels,
                      class_names=None,
                      score_thr=0,
                      bbox_color=&#39;green&#39;,
                      text_color=&#39;green&#39;,
                      thickness=1,
                      font_scale=0.5,
                      show=True,
                      win_name=&#39;&#39;,
                      wait_time=0,
                      out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores), shaped (n, 4) or
            (n, 5).
        labels (ndarray): Labels of bboxes.
        class_names (list[str]): Names of each classes.
        score_thr (float): Minimum score of bboxes to be shown.
        bbox_color (str, optional): Color of bbox lines. It also accept value of `Color`/str/tuple. 
            Defaults to &#39;green&#39;.
        text_color (str, optional): Color of texts. It also accept value of `Color`/str/tuple. 
            Defaults to &#39;green&#39;.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert labels.ndim == 1
    assert bboxes.shape[0] == labels.shape[0]
    assert bboxes.shape[1] == 4 or bboxes.shape[1] == 5
    img = trans_numpy(img)

    if score_thr &gt; 0:
        assert bboxes.shape[1] == 5
        scores = bboxes[:, -1]
        inds = scores &gt; score_thr
        bboxes = bboxes[inds, :]
        labels = labels[inds]

    bbox_color = color_val(bbox_color)
    text_color = color_val(text_color)
    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8
    for bbox, label in zip(bboxes, labels):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        cv2.rectangle(
            img, left_top, right_bottom, bbox_color, thickness=thickness)
        label_text = class_names[
            label] if class_names is not None else f&#39;cls {label}&#39;
        if len(bbox) &gt; 4:
            label_text += f&#39;|{bbox[-1]:.02f}&#39;
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 2),
                    cv2.FONT_HERSHEY_COMPLEX, font_scale, text_color)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img


def imshow_bboxes_colors(img,
                   bboxes,
                   class_names,
                   colors,
                   score_thr=0,
                   thickness=1,
                   font_scale=0.5,
                   show=True,
                   win_name=&#39;&#39;,
                   wait_time=0,
                   out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image using various color.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
            shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]

        class_names (list[str]): Names of each classes.
        score_thr (float): Minimum score of bboxes to be shown.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert bboxes.shape[1] == 5 or bboxes.shape[1] == 6
    assert len(colors) == len(class_names)
    img = trans_numpy(img)

    if score_thr &gt; 0:
        assert bboxes.shape[1] == 6
        scores = bboxes[:, 4]
        inds = scores &gt; score_thr
        bboxes = bboxes[inds, :]

    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8

    for bbox, label in zip(bboxes[:,:5], bboxes[:,-1].astype(&#39;int32&#39;)):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        cv2.rectangle(
            img, left_top, right_bottom, colors[label], thickness=thickness)
        label_text = class_names[
            label] if class_names is not None else f&#39;cls {label}&#39;
        if len(bbox) &gt; 4:
            label_text += f&#39;|{bbox[-1]:.02f}&#39;
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 2),
                    cv2.FONT_HERSHEY_COMPLEX, font_scale, colors[label])

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img


def draw_bboxes(img,
                bboxes,
                class_names,
                thickness=1,
                font_scale=0.5,
                show=True,
                win_name=&#39;&#39;,
                wait_time=0,
                out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image with colors.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
            shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]

        class_names (list[str]): Names of each classes.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert bboxes.shape[1] == 5 or bboxes.shape[1] == 6
    img = trans_numpy(img)

    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8
    font = cv2.FONT_HERSHEY_DUPLEX

    for bbox, label in zip(bboxes[:,:5], bboxes[:,-1].astype(&#39;int32&#39;)):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        color = COLORS_81[label%80 + 1].tolist()
        cv2.rectangle(img, left_top, right_bottom, color, thickness)
        label_text = class_names[label] if class_names is not None else f&#39;cls {label}&#39;

        if len(bbox) &gt; 4:
            label_text += f&#39;:{bbox[-1]:.02f}&#39;

        text_w, text_h = cv2.getTextSize(label_text, font, font_scale, thickness)[0]
        cv2.rectangle(img, left_top, (bbox_int[0] + text_w, bbox_int[1] + text_h + 5), color, -1)
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] + 15),
                    font, font_scale, (255, 255, 255), thickness, cv2.LINE_AA)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img</code></pre>
</details>
</section>
<section>
</section>
<section>
</section>
<section>
<h2 class="section-title" id="header-functions">Functions</h2>
<dl>
<dt id="ascend.post_process.image.draw_bboxes"><code class="name flex">
<span>def <span class="ident">draw_bboxes</span></span>(<span>img, bboxes, class_names, thickness=1, font_scale=0.5, show=True, win_name='', wait_time=0, out_file=None)</span>
</code></dt>
<dd>
<div class="desc"><p>Draw bboxes and class labels (with scores) on an image with colors.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray, ndarray</code></dt>
<dd>The image to be displayed.</dd>
<dt><strong><code>bboxes</code></strong> :&ensp;<code>ndarray</code></dt>
<dd>Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]</dd>
<dt><strong><code>class_names</code></strong> :&ensp;<code>list[str]</code></dt>
<dd>Names of each classes.</dd>
<dt><strong><code>thickness</code></strong> :&ensp;<code>int</code></dt>
<dd>Thickness of lines.</dd>
<dt><strong><code>font_scale</code></strong> :&ensp;<code>float</code></dt>
<dd>Font scales of texts.</dd>
<dt><strong><code>show</code></strong> :&ensp;<code>bool</code></dt>
<dd>Whether to show the image.</dd>
<dt><strong><code>win_name</code></strong> :&ensp;<code>str</code></dt>
<dd>The window name.</dd>
<dt><strong><code>wait_time</code></strong> :&ensp;<code>int</code></dt>
<dd>Value of waitKey param.</dd>
<dt><strong><code>out_file</code></strong> :&ensp;<code>str</code> or <code>None</code></dt>
<dd>The filename to write the image.</dd>
</dl>
<h2 id="returns">Returns</h2>
<dl>
<dt><code>ndarray</code></dt>
<dd>The image with bboxes drawn on it.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L239-L293" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def draw_bboxes(img,
                bboxes,
                class_names,
                thickness=1,
                font_scale=0.5,
                show=True,
                win_name=&#39;&#39;,
                wait_time=0,
                out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image with colors.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
            shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]

        class_names (list[str]): Names of each classes.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert bboxes.shape[1] == 5 or bboxes.shape[1] == 6
    img = trans_numpy(img)

    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8
    font = cv2.FONT_HERSHEY_DUPLEX

    for bbox, label in zip(bboxes[:,:5], bboxes[:,-1].astype(&#39;int32&#39;)):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        color = COLORS_81[label%80 + 1].tolist()
        cv2.rectangle(img, left_top, right_bottom, color, thickness)
        label_text = class_names[label] if class_names is not None else f&#39;cls {label}&#39;

        if len(bbox) &gt; 4:
            label_text += f&#39;:{bbox[-1]:.02f}&#39;

        text_w, text_h = cv2.getTextSize(label_text, font, font_scale, thickness)[0]
        cv2.rectangle(img, left_top, (bbox_int[0] + text_w, bbox_int[1] + text_h + 5), color, -1)
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] + 15),
                    font, font_scale, (255, 255, 255), thickness, cv2.LINE_AA)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img</code></pre>
</details>
</dd>
<dt id="ascend.post_process.image.imshow"><code class="name flex">
<span>def <span class="ident">imshow</span></span>(<span>img, win_name='', wait_time=0)</span>
</code></dt>
<dd>
<div class="desc"><p>Show an image.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray</code> or <code>ndarray</code></dt>
<dd>The image to be displayed.</dd>
<dt><strong><code>win_name</code></strong> :&ensp;<code>str</code></dt>
<dd>The window name.</dd>
<dt><strong><code>wait_time</code></strong> :&ensp;<code>int</code></dt>
<dd>Value of waitKey param.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L28-L48" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def imshow(img, win_name=&#39;&#39;, wait_time=0):
    &#34;&#34;&#34;Show an image.

    Args:
        img (AscendArray or ndarray): The image to be displayed.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
    &#34;&#34;&#34;
    img = trans_numpy(img)
    cv2.imshow(win_name, img)

    if wait_time == 0:  # prevent from hangning if windows was closed
        while True:
            ret = cv2.waitKey(1)

            closed = cv2.getWindowProperty(win_name, cv2.WND_PROP_VISIBLE) &lt; 1
            # if user closed window or if some key pressed
            if closed or ret != -1:
                break
    else:
        ret = cv2.waitKey(wait_time)</code></pre>
</details>
</dd>
<dt id="ascend.post_process.image.imshow_bboxes"><code class="name flex">
<span>def <span class="ident">imshow_bboxes</span></span>(<span>img, bboxes, colors='green', top_k=-1, thickness=1, show=True, win_name='', wait_time=0, out_file=None)</span>
</code></dt>
<dd>
<div class="desc"><p>Draw bboxes on an image.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray</code> or <code>ndarray</code></dt>
<dd>The image to be displayed.</dd>
<dt><strong><code>bboxes</code></strong> :&ensp;<code>list</code> or <code>ndarray</code></dt>
<dd>A list of ndarray of shape (k, 4).</dd>
<dt><strong><code>colors</code></strong> :&ensp;<code>list[str</code> or <code>tuple</code> or <code>Color]</code></dt>
<dd>A list of colors.</dd>
<dt><strong><code>top_k</code></strong> :&ensp;<code>int</code></dt>
<dd>Plot the first k bboxes only if set positive.</dd>
<dt><strong><code>thickness</code></strong> :&ensp;<code>int</code></dt>
<dd>Thickness of lines.</dd>
<dt><strong><code>show</code></strong> :&ensp;<code>bool</code></dt>
<dd>Whether to show the image.</dd>
<dt><strong><code>win_name</code></strong> :&ensp;<code>str</code></dt>
<dd>The window name.</dd>
<dt><strong><code>wait_time</code></strong> :&ensp;<code>int</code></dt>
<dd>Value of waitKey param.</dd>
<dt><strong><code>out_file</code></strong> :&ensp;<code>str</code>, optional</dt>
<dd>The filename to write the image.</dd>
</dl>
<h2 id="returns">Returns</h2>
<dl>
<dt><code>ndarray</code></dt>
<dd>The image with bboxes drawn on it.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L51-L101" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def imshow_bboxes(img,
                  bboxes,
                  colors=&#39;green&#39;,
                  top_k=-1,
                  thickness=1,
                  show=True,
                  win_name=&#39;&#39;,
                  wait_time=0,
                  out_file=None):
    &#34;&#34;&#34;Draw bboxes on an image.

    Args:
        img (AscendArray or ndarray): The image to be displayed.
        bboxes (list or ndarray): A list of ndarray of shape (k, 4).
        colors (list[str or tuple or Color]): A list of colors.
        top_k (int): Plot the first k bboxes only if set positive.
        thickness (int): Thickness of lines.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str, optional): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    img = trans_numpy(img)

    if isinstance(bboxes, np.ndarray):
        bboxes = [bboxes]
    if not isinstance(colors, list):
        colors = [colors for _ in range(len(bboxes))]
    colors = [color_val(c) for c in colors]
    assert len(bboxes) == len(colors)

    for i, _bboxes in enumerate(bboxes):
        _bboxes = _bboxes.astype(np.int32)
        if top_k &lt;= 0:
            _top_k = _bboxes.shape[0]
        else:
            _top_k = min(top_k, _bboxes.shape[0])
        for j in range(_top_k):
            left_top = (_bboxes[j, 0], _bboxes[j, 1])
            right_bottom = (_bboxes[j, 2], _bboxes[j, 3])
            cv2.rectangle(
                img, left_top, right_bottom, colors[i], thickness=thickness)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img</code></pre>
</details>
</dd>
<dt id="ascend.post_process.image.imshow_bboxes_colors"><code class="name flex">
<span>def <span class="ident">imshow_bboxes_colors</span></span>(<span>img, bboxes, class_names, colors, score_thr=0, thickness=1, font_scale=0.5, show=True, win_name='', wait_time=0, out_file=None)</span>
</code></dt>
<dd>
<div class="desc"><p>Draw bboxes and class labels (with scores) on an image using various color.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray, ndarray</code></dt>
<dd>The image to be displayed.</dd>
<dt><strong><code>bboxes</code></strong> :&ensp;<code>ndarray</code></dt>
<dd>Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]</dd>
<dt><strong><code>class_names</code></strong> :&ensp;<code>list[str]</code></dt>
<dd>Names of each classes.</dd>
<dt><strong><code>score_thr</code></strong> :&ensp;<code>float</code></dt>
<dd>Minimum score of bboxes to be shown.</dd>
<dt><strong><code>thickness</code></strong> :&ensp;<code>int</code></dt>
<dd>Thickness of lines.</dd>
<dt><strong><code>font_scale</code></strong> :&ensp;<code>float</code></dt>
<dd>Font scales of texts.</dd>
<dt><strong><code>show</code></strong> :&ensp;<code>bool</code></dt>
<dd>Whether to show the image.</dd>
<dt><strong><code>win_name</code></strong> :&ensp;<code>str</code></dt>
<dd>The window name.</dd>
<dt><strong><code>wait_time</code></strong> :&ensp;<code>int</code></dt>
<dd>Value of waitKey param.</dd>
<dt><strong><code>out_file</code></strong> :&ensp;<code>str</code> or <code>None</code></dt>
<dd>The filename to write the image.</dd>
</dl>
<h2 id="returns">Returns</h2>
<dl>
<dt><code>ndarray</code></dt>
<dd>The image with bboxes drawn on it.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L176-L236" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def imshow_bboxes_colors(img,
                   bboxes,
                   class_names,
                   colors,
                   score_thr=0,
                   thickness=1,
                   font_scale=0.5,
                   show=True,
                   win_name=&#39;&#39;,
                   wait_time=0,
                   out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image using various color.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores, label), shaped (n, 5) or (n, 6).
            shape like [x1, y1, x2, y2, scores, classid] or [x1, y1, x2, y2, classid]

        class_names (list[str]): Names of each classes.
        score_thr (float): Minimum score of bboxes to be shown.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert bboxes.shape[1] == 5 or bboxes.shape[1] == 6
    assert len(colors) == len(class_names)
    img = trans_numpy(img)

    if score_thr &gt; 0:
        assert bboxes.shape[1] == 6
        scores = bboxes[:, 4]
        inds = scores &gt; score_thr
        bboxes = bboxes[inds, :]

    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8

    for bbox, label in zip(bboxes[:,:5], bboxes[:,-1].astype(&#39;int32&#39;)):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        cv2.rectangle(
            img, left_top, right_bottom, colors[label], thickness=thickness)
        label_text = class_names[
            label] if class_names is not None else f&#39;cls {label}&#39;
        if len(bbox) &gt; 4:
            label_text += f&#39;|{bbox[-1]:.02f}&#39;
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 2),
                    cv2.FONT_HERSHEY_COMPLEX, font_scale, colors[label])

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img</code></pre>
</details>
</dd>
<dt id="ascend.post_process.image.imshow_det_bboxes"><code class="name flex">
<span>def <span class="ident">imshow_det_bboxes</span></span>(<span>img, bboxes, labels, class_names=None, score_thr=0, bbox_color='green', text_color='green', thickness=1, font_scale=0.5, show=True, win_name='', wait_time=0, out_file=None)</span>
</code></dt>
<dd>
<div class="desc"><p>Draw bboxes and class labels (with scores) on an image.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray, ndarray</code></dt>
<dd>The image to be displayed.</dd>
<dt><strong><code>bboxes</code></strong> :&ensp;<code>ndarray</code></dt>
<dd>Bounding boxes (with scores), shaped (n, 4) or
(n, 5).</dd>
<dt><strong><code>labels</code></strong> :&ensp;<code>ndarray</code></dt>
<dd>Labels of bboxes.</dd>
<dt><strong><code>class_names</code></strong> :&ensp;<code>list[str]</code></dt>
<dd>Names of each classes.</dd>
<dt><strong><code>score_thr</code></strong> :&ensp;<code>float</code></dt>
<dd>Minimum score of bboxes to be shown.</dd>
<dt><strong><code>bbox_color</code></strong> :&ensp;<code>str</code>, optional</dt>
<dd>Color of bbox lines. It also accept value of <code>Color</code>/str/tuple.
Defaults to 'green'.</dd>
<dt><strong><code>text_color</code></strong> :&ensp;<code>str</code>, optional</dt>
<dd>Color of texts. It also accept value of <code>Color</code>/str/tuple.
Defaults to 'green'.</dd>
<dt><strong><code>thickness</code></strong> :&ensp;<code>int</code></dt>
<dd>Thickness of lines.</dd>
<dt><strong><code>font_scale</code></strong> :&ensp;<code>float</code></dt>
<dd>Font scales of texts.</dd>
<dt><strong><code>show</code></strong> :&ensp;<code>bool</code></dt>
<dd>Whether to show the image.</dd>
<dt><strong><code>win_name</code></strong> :&ensp;<code>str</code></dt>
<dd>The window name.</dd>
<dt><strong><code>wait_time</code></strong> :&ensp;<code>int</code></dt>
<dd>Value of waitKey param.</dd>
<dt><strong><code>out_file</code></strong> :&ensp;<code>str</code> or <code>None</code></dt>
<dd>The filename to write the image.</dd>
</dl>
<h2 id="returns">Returns</h2>
<dl>
<dt><code>ndarray</code></dt>
<dd>The image with bboxes drawn on it.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L104-L173" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def imshow_det_bboxes(img,
                      bboxes,
                      labels,
                      class_names=None,
                      score_thr=0,
                      bbox_color=&#39;green&#39;,
                      text_color=&#39;green&#39;,
                      thickness=1,
                      font_scale=0.5,
                      show=True,
                      win_name=&#39;&#39;,
                      wait_time=0,
                      out_file=None):
    &#34;&#34;&#34;Draw bboxes and class labels (with scores) on an image.

    Args:
        img (AscendArray, ndarray): The image to be displayed.
        bboxes (ndarray): Bounding boxes (with scores), shaped (n, 4) or
            (n, 5).
        labels (ndarray): Labels of bboxes.
        class_names (list[str]): Names of each classes.
        score_thr (float): Minimum score of bboxes to be shown.
        bbox_color (str, optional): Color of bbox lines. It also accept value of `Color`/str/tuple. 
            Defaults to &#39;green&#39;.
        text_color (str, optional): Color of texts. It also accept value of `Color`/str/tuple. 
            Defaults to &#39;green&#39;.
        thickness (int): Thickness of lines.
        font_scale (float): Font scales of texts.
        show (bool): Whether to show the image.
        win_name (str): The window name.
        wait_time (int): Value of waitKey param.
        out_file (str or None): The filename to write the image.

    Returns:
        ndarray: The image with bboxes drawn on it.
    &#34;&#34;&#34;
    assert bboxes.ndim == 2
    assert labels.ndim == 1
    assert bboxes.shape[0] == labels.shape[0]
    assert bboxes.shape[1] == 4 or bboxes.shape[1] == 5
    img = trans_numpy(img)

    if score_thr &gt; 0:
        assert bboxes.shape[1] == 5
        scores = bboxes[:, -1]
        inds = scores &gt; score_thr
        bboxes = bboxes[inds, :]
        labels = labels[inds]

    bbox_color = color_val(bbox_color)
    text_color = color_val(text_color)
    img = np.ascontiguousarray(img).astype(np.uint8)  # 可能传入的不是uint8
    for bbox, label in zip(bboxes, labels):
        bbox_int = bbox.astype(np.int32)
        left_top = (bbox_int[0], bbox_int[1])
        right_bottom = (bbox_int[2], bbox_int[3])
        cv2.rectangle(
            img, left_top, right_bottom, bbox_color, thickness=thickness)
        label_text = class_names[
            label] if class_names is not None else f&#39;cls {label}&#39;
        if len(bbox) &gt; 4:
            label_text += f&#39;|{bbox[-1]:.02f}&#39;
        cv2.putText(img, label_text, (bbox_int[0], bbox_int[1] - 2),
                    cv2.FONT_HERSHEY_COMPLEX, font_scale, text_color)

    if show:
        imshow(img, win_name, wait_time)
    if out_file is not None:
        cv2.imwrite(out_file, img)
    return img</code></pre>
</details>
</dd>
<dt id="ascend.post_process.image.trans_numpy"><code class="name flex">
<span>def <span class="ident">trans_numpy</span></span>(<span>img)</span>
</code></dt>
<dd>
<div class="desc"><p>Trans AscendArray img to np.ndrray with rgb/bgr format.</p>
<h2 id="args">Args</h2>
<dl>
<dt><strong><code>img</code></strong> :&ensp;<code>AscendArray</code></dt>
<dd>The image to be transimited</dd>
</dl>
<h2 id="returns">Returns</h2>
<dl>
<dt><code>ndarray</code></dt>
<dd>The image with rgb/bgr format.</dd>
</dl></div>
<details class="source">
<summary>
<span>Expand source code</span>
<a href="https://github.com/pdoc3/pdoc/blob/37c907488ff52b174ab602690d1166f28bded9a2/ascend/post_process/image.py#L8-L26" class="git-link">Browse git</a>
</summary>
<pre><code class="python">def trans_numpy(img):
    &#34;&#34;&#34;Trans AscendArray img to np.ndrray with rgb/bgr format.

    Args:
        img (AscendArray): The image to be transimited

    Returns:
        ndarray: The image with rgb/bgr format.
    &#34;&#34;&#34;
    if isinstance(img, np.ndarray):
        return img

    # AscendArray image
    if img.format in yuv420:
        convert = cv2.COLOR_YUV2RGB_NV21 if img.format == PIXEL_FORMAT_YUV_SEMIPLANAR_420 else cv2.COLOR_YUV2RGB_NV12
        img = cv2.cvtColor(img.to_np, convert)
    else:
        img = img.to_np
    return img</code></pre>
</details>
</dd>
</dl>
</section>
<section>
</section>
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<h1>Index</h1>
<div class="toc">
<ul></ul>
</div>
<ul id="index">
<li><h3>Super-module</h3>
<ul>
<li><code><a title="ascend.post_process" href="index.html">ascend.post_process</a></code></li>
</ul>
</li>
<li><h3><a href="#header-functions">Functions</a></h3>
<ul class="">
<li><code><a title="ascend.post_process.image.draw_bboxes" href="#ascend.post_process.image.draw_bboxes">draw_bboxes</a></code></li>
<li><code><a title="ascend.post_process.image.imshow" href="#ascend.post_process.image.imshow">imshow</a></code></li>
<li><code><a title="ascend.post_process.image.imshow_bboxes" href="#ascend.post_process.image.imshow_bboxes">imshow_bboxes</a></code></li>
<li><code><a title="ascend.post_process.image.imshow_bboxes_colors" href="#ascend.post_process.image.imshow_bboxes_colors">imshow_bboxes_colors</a></code></li>
<li><code><a title="ascend.post_process.image.imshow_det_bboxes" href="#ascend.post_process.image.imshow_det_bboxes">imshow_det_bboxes</a></code></li>
<li><code><a title="ascend.post_process.image.trans_numpy" href="#ascend.post_process.image.trans_numpy">trans_numpy</a></code></li>
</ul>
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